SEEDREALTIME KNOWLEDGE HUB
From live experience to a product that works.
Independent guidance for product, engineering, and technical teams: understand SeedRealtime, design an API gateway, choose use cases, and evaluate a live multimodal system.
What is SeedRealtime? A practical guide to real-time multimodal AI
A clear introduction to SeedRealtime: what the name describes, why continuous audio and video matter, and how teams can evaluate the experience without confusing an independent demo with official model access.
Read guide →02SeedRealtime API integration guide: build a replaceable live AI gateway
A production-minded integration pattern that keeps browser media, server credentials, provider adapters, and observability separate so the underlying model can change without rebuilding the product.
Read guide →03SeedRealtime use cases: where live audio-visual AI creates value
The strongest live AI use cases combine a changing scene, a spoken goal, and a moment when a timely response is more useful than a delayed report.
Read guide →04Real-time multimodal AI: architecture, latency, and evaluation
A model-centered explanation is incomplete. Real-time multimodal AI is a coordinated system spanning media capture, transport, state, perception, timing, output, safety, and user feedback.
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